Advanced Live Demo System

🔄 Self-Healing Orchestration Pipeline

Complete Architecture with Real Execution
By Ramon Cortez, AI Architect
📐 System Architecture
[Ingest Log / Webhook] │ ▼ [IncidentDiagnosisAgent] ──(Deterministic Classification) │ ▼ [Primary Execution Attempt] ──(Builds Jira Payload v1.0) │ ├─► (Success: 201 Created) ──► Log Telemetry ──► Exit │ └─► [ANOMALY DETECTED] ──(Catches HTTP 400/422 Errors) │ ▼ [RCA & AutonomousSelfHealingEngine] ──(Claude Opus 5) │ ▼ [RE-EXECUTION NODE] ──(Dispatches Patched Payload v2.0) │ ▼ [TelemetryLog] ──(Persists Complete Audit Trail)
🎬 Execution Stages
1. INGEST
Receive incident webhook
2. DIAGNOSE
Deterministic P1-P4 classification
3. PRIMARY EXECUTION
Attempt Jira API call
4. ANOMALY DETECTION
Catch HTTP 400/422 errors
5. RCA + HEALING
Claude analyzes & patches payload
6. RE-EXECUTION
Send healed payload to API
7. TELEMETRY
Immutable audit trail logged
📊 Execution Log
Waiting for incident...
📈 Performance Metrics
0
Total Incidents
0
Heal Attempts
0%
Success Rate
$0.00
Total Cost
🔐 Immutable Audit Trail
No incidents processed yet
✓ Architectural Strengths
• Deterministic Triage Layer: The IncidentDiagnosisAgent uses strict keyword mapping ("connection refused", "timeout", "out of memory") to assign P1-P4 severities without calling an LLM. This eliminates hallucination risks during initial diagnostic phase.
• Isolated Claude Remediation Loop: The AutonomousSelfHealingEngine is invoked only when an exception occurs (ANOMALY_DETECTED). It isolates the raw error JSON and bad payload, forcing Claude to return strict, unformatted raw JSON.
• State Auditability: The TelemetryLog class creates an immutable, timestamped audit trail of every stage. This satisfies enterprise governance and compliance requirements for automated execution.
• Production Interface: Wrapping the engine inside FastAPI (/incidents/ingest) makes the script immediately deployable as a background microservice or webhook receiver.
⚙️ Optimization: Explicit Error Parsing
def _parse_error(self, err: Exception) -> Dict: if isinstance(err, aiohttp.ClientResponseError): return { "error_code": "SCHEMA_MISMATCH" if err.status == 422 else "INVALID_PAYLOAD", "status": err.status, "error_message": err.message, "details": str(err) } return { "error_code": "UNKNOWN_ERROR", "status": 500, "error_message": "Unexpected API error", "details": str(err) }
For maximum reliability when connecting to live enterprise endpoints, parse the direct HTTP status code from aiohttp.ClientResponseError or the structured JSON error body directly.